The Role
Leads business analysis for insurance-domain initiatives by gathering and documenting requirements, analyzing processes, preparing BRDs, FRDs, user stories, and workflows, and coordinating with stakeholders, development, and QA teams. Supports solution delivery, UAT, requirement traceability, and project documentation while identifying process-improvement opportunities.
Summary Generated by Built In
Job Description
We are looking for a Business Analyst with strong experience in the Insurance domain to gather, analyze, and document business requirements while working closely with business stakeholders and technical teams.
Key Responsibilities
- Gather and analyze business requirements and translate them into functional specifications.
- Work with stakeholders to understand business processes and identify opportunities for improvement.
- Prepare BRDs, FRDs, user stories, and process flow documentation.
- Coordinate with development and QA teams to ensure successful solution delivery.
- Support UAT, requirement traceability, and project documentation.
Required Skills
- 10+ years of experience as a Business Analyst.
- Hands-on experience in the Insurance domain (Life, Health, or General Insurance).
- Strong knowledge of requirement gathering, business process analysis, and documentation.
- Excellent communication and stakeholder management skills.
- Experience with Agile/Scrum methodologies is preferred.
Education
- MBA / B.Tech – Mandatory .
Skills Required
- 10+ years of experience as a Business Analyst
- Hands-on experience in the Insurance domain, including Life, Health, or General Insurance
- Strong knowledge of requirements gathering, business process analysis, and documentation
- Excellent communication and stakeholder management skills
- MBA or B.Tech degree
- Experience with Agile/Scrum methodologies
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The Company
What We Do
AidenAI builds and operates enterprise AI solutions, including AI agents and its unified agentic platform for modernizing legacy technology, transforming business logic and data, validating outcomes, and accelerating migration. It supports organizations from AI strategy through integration and ongoing operations, while providing tools to build, deploy, govern, and measure enterprise agents. Its services are intended to move AI beyond experimentation and embed it into business operations.
